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@TeeeeeTeeeee

Tee Tee

LLM Sharding Across Multiple Verifiable TEE with Decentralized Inference.

TeeTee

Private, affordable, high-performance LLMs via verifiable TEE sharding.

What we do

  • Shard & run large models across multiple TEEs (Phala) with on-chain attestation of code + model hash.
  • Two ways to use:
    • Host a shard → profit share + direct usage.
    • Buy tokens with ETH on Base → pay-per-query in chat.
  • Smart contracts automate payments, usage metering, and revenue split.

Why it matters

Data stays private · Costs are pooled · No single-GPU/TEE limits · Decentralized & fault-tolerant.

Status (PoC)

TinyLlama split into 2 shards; single /generate endpoint; both TEEs post attestation reports.

Roadmap

  • Vertical: more shards → bigger models.
  • Horizontal: P2P mesh → failover & scale.

Links (From our old prototype)

Team

Liew Qi Jian · Phen Jing Yuan · Edwina Hon Kai Xin · Cedric Chung Theng Fung · Tan Zhi Wei · Marcus Tan · Lee Wai Yee

Popular repositories Loading

  1. TeeTee-v2 TeeTee-v2 Public

    TypeScript 1

  2. .github .github Public

  3. TeeTee-v1 TeeTee-v1 Public

    Forked from derek2403/TeeTee

    Project about Layer Splitting of LLM and TEE

    JavaScript

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